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Submittable VS NumPy

Compare Submittable VS NumPy and see what are their differences

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Salesforce-native accounting software for quotes, invoices, e-invoices (XRechnung, ZUGFeRD), DATEV integration, bank sync, and SEPA payments โ€“ no external tools needed. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Submittable logo Submittable

Submittable is an easy-to-use online submission manager.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Submittable Landing page
    Landing page //
    2023-09-13
  • NumPy Landing page
    Landing page //
    2023-05-13

Submittable features and specs

  • User-Friendly Interface
    Submittable offers an intuitive and easy-to-use interface for both submitters and reviewers, which simplifies the submission and review process.
  • Streamlined Workflow
    The platform supports a streamlined workflow with automated email notifications, task assignments, and status tracking, improving efficiency in managing submissions.
  • Customizable Forms
    Users can create fully customizable submission forms tailored to their specific needs, allowing for more precise data collection.
  • Collaboration Tools
    Submittable provides robust collaboration tools, allowing multiple reviewers to provide feedback, discuss submissions, and make collective decisions.
  • Analytics and Reporting
    The platform offers detailed analytics and reporting features, enabling users to track submission trends, reviewer activity, and overall performance.

Possible disadvantages of Submittable

  • Pricing
    Submittable can be expensive, especially for smaller organizations or individuals, as pricing scales with the volume of submissions and additional features.
  • Limited Free Plan
    The free plan offered by Submittable is quite limited in terms of features and submission volume, necessitating an upgrade for more robust needs.
  • Learning Curve
    While the interface is user-friendly, there can be a learning curve for new users to fully utilize all the advanced features and functionalities.
  • Customization Limitations
    Although forms are customizable, some users may find limitations in customizing the broader workflow and integration aspects to fit their unique requirements.
  • Dependency on Internet
    As a cloud-based platform, Submittable requires a reliable internet connection for access, which can be a drawback in areas with poor connectivity.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of Submittable

Overall verdict

  • Yes, Submittable is considered a good platform.

Why this product is good

  • Submittable is a widely-used submission management platform known for its user-friendly interface, comprehensive features, and flexibility in handling a range of submission types. It is praised for streamlining the process of collecting and reviewing submissions, offering customization options for forms, and facilitating effective communication between submitters and administrators. Users appreciate its robust reporting tools and integrations with other services.

Recommended for

    Submittable is recommended for organizations and individuals who need an efficient way to manage and review submissions, such as literary journals, film festivals, grant programs, and scholarship providers. It's well-suited for teams that require collaboration in the decision-making process and for those seeking to enhance their submission workflows with automated tools.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Submittable videos

+ Add

Submittable: Accept and review any digital content

More videos:

  • Review - What is Submittable?
  • Review - Submittable: Submissions made simple

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Submittable and NumPy)

Submittable

NumPy

ERP
100 100%
ERP
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Event Management
100 100%
Event Management
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Submittable and NumPy

Submittable Reviews

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NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Submittable. While we know about 122 links to NumPy, we've tracked only 5 mentions of Submittable. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Submittable mentions (5)

  • Looking for art zines
    Try checking out Submittable https://submittable.com/ and Chillsubs https://chillsubs.com/ to look for journals, zines and other publications that are seeking art :) Good luck! Source: almost 4 years ago
  • [HELP] How to publish as a new poet.
    You send them into literary magazines & journals. chillsubs.com + submittable.com + duotrope.com are good places to start. Source: about 4 years ago
  • [help]
    You'll need a Submittable account for most mainstream submissions these days. Source: over 4 years ago
  • Can I get paid by writing poems?
    Another place to search is submittable.com --I think you can even search by paid vs non-paid. Source: over 4 years ago
  • Where to publish short stories in this day and age?
    Check out duotrope. It's a searchable database of all available publications. You can also use the Discover tab on Submittable. Good luck! Source: almost 5 years ago

NumPy mentions (122)

View more

What are some alternatives?

When comparing Submittable and NumPy, you can also consider the following products

SurveyMonkey Apply - SurveyMonkey Apply enables organizations to streamline the process of collecting and reviewing applications.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Award Force - Award Force is recognised as the worldโ€™s #1 awards management software, trusted by organisations across the globe to recognise excellence in their field.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

OpenWater - OpenWater is an awards management software platform that automates, manages, and grows awards programs big and small.

OpenCV - OpenCV is the world's biggest computer vision library

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